Author

Liu Liu

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Open access Sep 2026

RecDM: Efficient Training System for Large-Scale Recommendation Models on Disaggregated Memory

The embedding tables in Deep Learning Recommendation Models (DLRMs) require significant memory capacity and bandwidth but relatively lower computing power, making it economically inefficient to scale by adding more GPUs solely to meet memory requirements. Recent advances in Compute Express Link (CXL) and near-data proc...

Zheng Wang, Zhong-Kai Yu, Kai-Jian Wang et al. · ACM Transactions on Architec... · 0 citations

#artificial intelligence Preprint Sep 2026

MaskCoFT: Masked Co-Adaptive Fine-Tuning for Memory-Efficient MoE Inference

This work proposes MaskCoFT, a masked co-adaptive fine-tuning method that trains routers and experts together with the cross-entropy loss alone, and reduces expert fetches per token in real offloading system serving.

Junfeng Wu, Ze-Hao Fan, Hadjer Benmeziane et al. · 0 citations

Preprint Aug 2026

PLoRA: An NDP-Enhanced Pooled-Memory System for Cost-Efficient Multi-LoRA Serving

Multi-LoRA serving is how one base model becomes thousands of specialized variants, one adapter per user, task, or agent, and the deployments can hold 1000-plus adapters. Serving them is hard because the workload inverts what GPUs provide: terabytes of memory against only tens of TFLOPS, and because every published sys...

Zhong-Kai Yu, O. Venkatachalam, Zheng Wang et al. · 0 citations